Semantic-based visual information retrieval /

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Bibliographic Details
Author / Creator:Zhang, Yu-Jin, 1954-
Imprint:Hershey, PA : IRM Press, c2007.
Description:xiii, 368 p. : ill. ; 26 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/6226486
Hidden Bibliographic Details
ISBN:159904370X (hardcover)
9781599043708 (hardcover)
1599043718 (softcover)
9781599043715 (softcover)
Notes:Includes bibliographical references and index.
committed to retain 20170930 20421213 HathiTrust
Summary:"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more"--Provided by publisher.
Table of Contents:
  • Ch. I. Toward high-level visual information retrieval / Yu-Jin Zhang
  • Ch. II. The impact of low-level features in semantic-based image retrieval / Konstantinos Konstantinidis, Antonios Gasteratos and Ioannis Andreadis
  • Ch. III. Shape-based image retrieval by alignment / Enver Sangineto
  • Ch. IV. Statistical audio-visual data fusion for video scene segmentation / Vyacheslav Parshin and Liming Chen
  • Ch. V. A novel framework for image categorization and automatic annotation / Feng Xu and Yu-Jin Zhang
  • Ch. VI. Automatic and semi-automatic techniques for image annotation / Biren Shah, Ryan Benton, Zonghuan Wu and Vijay Raghavan
  • Ch. VII. Adaptive metadata generation for integration of visual and semantic information / Hideyasu Sasaki and Yasushi Kiyoki
  • Ch. VIII. Interaction models and relevance feedback in image retrieval / Daniel Heesch and Stefan Ruger
  • Ch. IX. Semi-automatic ground truth annotation for benchmarking of face detection in video / Dzmitry Tsishkou, Liming Chen and Eugeny Bovbel
  • Ch. X. An ontology-based framework for semantic image analysis and retrieval / Stamatia Dasiopoulou, Charalampos Doulaverakis, Vasileios Mezaris, Ioannis Kompatsiaris and Michael G. Strintzis
  • Ch. XI. A machine learning-based model for content-based image retrieval / Hakim Hacid and Abdelkader Djamel Zighed
  • Ch. XII. Neural networks for content-based image retrieval / Brijesh Verma and Siddhivinayak Kulkarni
  • Ch. XIII. Semantic-based video scene retrieval using evolutionary computing / Hun-Woo Yoo
  • Ch. XIV. Managing uncertainties in image databases / Antonio Picariello and Maria Luisa Sapino
  • Ch. XV. A hierarchical classification technique for semantics-based image retrieval / Mohammed Lamine Kherfi and Djemel Ziou
  • Ch. XVI. Semantic multimedia information analysis for retrieval applications / Joao Magalhaes and Stefan Ruger.